Constructor, the prominent AI-powered product discovery and search platform for enterprise ecommerce companies, has announced a new solution called Attribute Enrichment. This solution uses deep learning and machine vision, both forms of AI, to enhance the quality of B2C and B2B product catalogs. By combining raw catalog data with buyers' behavioral clickstream data, Attribute Enrichment corrects and auto-enriches product attributes, facilitating better product discovery and personalization for customers. This offering addresses a significant challenge faced by ecommerce companies and consumers, as bad or missing product data often leads to time-consuming and frustrating search experiences. With Attribute Enrichment, ecommerce companies can achieve consistent and comprehensive catalog data, eliminating the need to rely on unreliable third-party sources or engage in manual enrichment processes. Constructor's solution uses deep learning techniques to identify and enrich key product attributes, optimizing search results, browse experiences, product recommendations, and more. This AI-powered approach provides many benefits to ecommerce companies, including increased revenue, conversions, engagement, and overall customer satisfaction.
Attribute Enrichment is positioned as a crucial component in Constructor's mission to transform ecommerce websites and apps into personalized shopping assistants, offering compelling results by leveraging AI algorithms, customer feedback, and data science methods. By automating the generation and enrichment of product attributes, categories, and metadata, Constructor's solution allows ecommerce teams to focus on strategic initiatives while delivering exceptional product discovery experiences to buyers. For more information on Attribute Enrichment, please visit https://constructor. io/products/product-data-enrichment. Constructor is a leading cloud-based product discovery and search platform specifically designed for enterprise ecommerce, catering to renowned brands such as Sephora, home24, Very Group, Birkenstock, Bonobos, and Fisheries Supply. Founded in 2015, Constructor aims to optimize ecommerce metrics by utilizing natural language processing, machine learning, and collaborative personalization. For more details, please visit constructor. io.
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